Nemotron Nano 8B needs ~10.9 GB VRAM. AMD Instinct MI60 32GB has 32.0 GB. With Q4_K_M quantization, expect ~103 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
110.5 tok/s
TTFT
1752 ms
Safe context
131K
Memory
10.9 GB / 32.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 110.5 tok/s | 955 ms | 131K |
| Coding | A | Runs well | 102.8 tok/s | 1883 ms | 131K |
| Agentic Coding | S | Runs well | 110.5 tok/s | 2548 ms | 131K |
| Reasoning | A | Runs well | 110.5 tok/s | 2070 ms | 131K |
| RAG | S | Runs well | 110.5 tok/s | 3185 ms | 131K |
How Nemotron Nano 8B (8B params) fits at each quantization level on AMD Instinct MI60 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | A78 |
Q3_K_S | 3 | 3.9 GB | Low | A78 |
NVFP4 | 4 |
Copy-paste commands to run Nemotron Nano 8B on your machine.
Run
lms load Llama-3.1-Nemotron-Nano-8B-v1 && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 75.9 tok/s | ||
| 27B | S | 32.9 tok/s |
Yes, AMD Instinct MI60 32GB can run Nemotron Nano 8B with a A grade (Runs well). Expected decode speed: 102.8 tok/s.
Nemotron Nano 8B (8B parameters) requires approximately 10.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Nemotron Nano 8B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI60 32GB, Nemotron Nano 8B achieves approximately 102.8 tokens per second decode speed with a time-to-first-token of 1883ms using Q4_K_M quantization.
For coding workloads, Nemotron Nano 8B on AMD Instinct MI60 32GB receives a A grade with 102.8 tok/s and 131K context.
On AMD Instinct MI60 32GB, Nemotron Nano 8B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/nemotron-nano-8b-on-instinct-mi60-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
4.5 GB |
| Medium |
| A79 |
Q4_K_M | 4 | 4.9 GB | Medium | A79 |
Q5_K_M | 5 | 5.8 GB | High | A79 |
Q6_K | 6 | 6.6 GB | High | A79 |
Q8_0 | 8 | 8.6 GB | Very High | A80 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | A84 |
| 27B | S | 20.5 tok/s |
| 35B | S | 63.8 tok/s |
| 30B | S | 78.5 tok/s |